Application of K- and Fuzzy c-Means for Color Segmentation of Thermal Infrared Breast Images. - Mahnaz Etehadtavakol; Saeed Sadri; E. Y. K. Ng (J. Medical Syst., 2010)

Estimating the Mutual Information Between Bilateral Breast in Thermograms Using Nonparametric Windows. - Mahnaz Etehadtavakol; E. Y. K. Ng; Caro Lucas; Saeed Sadri; Niloofar Gheissari (J. Medical Syst., 2011)

Rapid extraction of the hottest or coldest regions of medical thermographic images. - Mahnaz Etehadtavakol; Zahra Emrani; E. Y. K. Ng (Medical Biol. Eng. Comput., 2019)

Comparing Different Algorithms for the Pseudo-Coloring of Myocardial Perfusion Single-Photon Emission Computed Tomography Images. - Abdurrahim Rahimian; Mahnaz Etehadtavakol; Masoud Moslehi; Eddie Y. K. Ng (J. Imaging, 2022)

Radiomics Feature Selection from Thyroid Thermal Images to Improve Thyroid Nodules Interpretations. - Mahnaz Etehadtavakol; Mojtaba Sirati-Amsheh; Eddie Y. K. Ng (AIIIMA@MICCAI, 2023)

Evaluating Radiomics Feature Reduction for Thyroid Nodule Segmentation in Thermal Imaging. - Mehdi Etehadtavakol; Mahnaz Etehadtavakol; Golnaz Moallem; Eddie Y. K. Ng (AIIIMA, 2024)

Enhanced thyroid nodule segmentation through U-Net and VGG16 fusion with feature engineering: A comprehensive study. - Mehdi Etehadtavakol; Mahnaz Etehadtavakol; Eddie Y. K. Ng (Comput. Methods Programs Biomed., 2024)

Optimizing thyroid nodule segmentation in thermal imaging with temporal sequences and advanced deep Learning backbones. - Mehdi Etehadtavakol; Mahnaz Etehadtavakol; Eddie Y. K. Ng (Expert Syst. Appl., 2026)